ecs.g7a.8xlarge by Alibaba Cloud

ecs.g7a.8xlarge is a ecs.g7a family (32 vCPUs, 128 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 32 vCPUs, 128 GiB of memory and 0 GB of storage. The pricing starts at 0.1864 USD per hour.
32 vCPU
128 GiB Memory
Spare SCore
43,176
(All-cores)
2,696
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.g7a.8xlarge
Description
ecs.g7a family (32 vCPUs, 128 GiB RAM, 0 GB storage)
Family
ecs.g7a
Hw Virt
Status
active
Observed At
2026-11-03T16:18:05.120041

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
0.1864 USD/h 0.981 USD/h
Chengdu (CN) / cn-chengdu
0.2071 USD/h 1.09 USD/h
Beijing (CN) / cn-beijing
0.2398 USD/h 1.09 USD/h
Shanghai (CN) / cn-shanghai
0.2834 USD/h 1.09 USD/h
Guangzhou (CN) / cn-guangzhou
- 1.09 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.09 USD/h
Shenzhen (CN) / cn-shenzhen
- 1.09 USD/h
Frankfurt (DE) / eu-central-1
0.32065 USD/h 1.564 USD/h
Jakarta (ID) / ap-southeast-5
0.3852 USD/h 1.605 USD/h
Tokyo (JP) / ap-northeast-1
0.3672 USD/h 1.632 USD/h
Hong Kong (HK) / cn-hongkong
0.4243 USD/h 1.632 USD/h
Singapore (SG) / ap-southeast-1
- 1.632 USD/h

Processor

vCPUs
32
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
CPU Speed
2.55 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU Model
7T83
CPU L1D Cache
32 KiB
CPU L1D Cache Total
512 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
512 KiB
CPU L2 Cache
512 KiB
CPU L2 Cache Total
8 MiB
CPU L3 Cache
32 MiB
CPU L3 Cache Total
64 MiB
CPU Flags
fpu, vme, de, pse, tsc, msr, pae, mce, cx8, apic, sep, mtrr, pge, mca, cmov, pat, pse36, clflush, mmx, fxsr, sse, sse2, ht, syscall, nx, mmxext, fxsr_opt, pdpe1gb, rdtscp, lm, constant_tsc, rep_good, nopl, nonstop_tsc, cpuid, extd_apicid, aperfmperf, tsc_known_freq, pni, pclmulqdq, monitor, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, cmp_legacy, cr8_legacy, abm, sse4a, misalignsse, 3dnowprefetch, osvw, topoext, ssbd, ibrs, ibpb, stibp, vmmcall, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, rdseed, adx, smap, clflushopt, clwb, sha_ni, xsaveopt, xsavec, xgetbv1, xsaves, clzero, xsaveerptr, wbnoinvd, arat, vaes, vpclmulqdq, rdpid, fsrm
Ecpus
16
Scalability
50

System Resources and Accelerators

MEMORY
Memory Amount
128 GiB
Memory Amount Actual
128 GiB
ACCELERATORS
Accelerator Count
0
Accelerator Memory Min
0 MiB
Accelerator Memory Total
0 MiB
Accelerators
    STORAGE
    Storage Size
    0 GB
    Storages
      NETWORK
      Network Speed Baseline
      8 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A balanced x86_64 compute instance featuring dedicated AMD EPYC processors and 128 GB RAM for general-purpose enterprise workloads.

      General Purpose

      Alibaba Cloud ecs.g7a.8xlarge is a general-purpose instance featuring 32 dedicated vCPUs and 128.0 GB of RAM, powered by an AMD EPYC 7T83 processor running at 2.55 GHz on the KVM hypervisor. It lacks local storage and GPU accelerators, utilizing an 8 Gbps baseline network bandwidth. Performance benchmarks show strong single-core CPU execution and strong Passmark memory scores, though uncached large-block memory write bandwidth is a notable bottleneck, falling into the bottom 25%. Multi-core performance, software compilation, and database operations remain in the average tier. This hardware profile is suited for general-purpose enterprise applications, static web serving, software compilation, and small-scale language model inference.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.1Score
      Precomputed compound score for Cache Intensive workloads. A weighted average (geometric mean) of benchmark scores compared to their medians: score = ∏ (x_i / m_i)^(w_i / Σw). The score of 1.0 represents a synthetic baseline server with the median performance of each component benchmark; 0.5 means roughly half the performance; and 2.0 means twice the performance of that reference profile. Component weights: 50% Redis RPS (pipeline=1, SET), 20% Redis RPS (pipeline=16, SET), 10% PassMark Memory Mark (composite), 10% Memory bandwidth (read, 16 MB ~ L3), 10% PassMark single-thread CPU. Rationale for component selection: In-memory key-value store workload, mixing direct Redis performance metrics with memory speed and latency benchmarks, and single-core CPU performance profiles.
      Component Score Weight Impact
      Raw Reference Normalized Target Actual
      Redis RPS (pipeline=1, SET) 2,367,640 ops/sec 1,921,522 ops/sec 1.3 50.00% 50.00% +14.00%
      Redis RPS (pipeline=16, SET) 17,727,506 ops/sec 11,765,013 ops/sec 1.5 20.00% 20.00% +8.40%
      PassMark Memory Mark (composite) 2,870 2,415 1.2 10.00% 10.00% +1.80%
      Memory bandwidth (read, 16 MB ~ L3) 43,727 MB/sec 108,490 MB/sec 0.4 10.00% 10.00% -8.80%
      PassMark single-thread CPU 2,387 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,535

      Geekbench Multi-Core

      Score: 11,288

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      35,975
      Compression
      499,953
      Encryption
      34,027
      Extended Instructions
      29,902
      Floating Point Maths
      72,910
      Integer Maths
      133,014
      Physics
      2,071
      Prime Numbers
      165
      Single Threaded
      2,387
      String Sorting
      57,892

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2,870
      Database Operations
      10,727
      Memory Latency
      54
      Memory Read Cached
      23,721
      Memory Read Uncached
      17,738
      Memory Write
      15,828

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      206.17 165.88 0.80×
      bitops
      141,181 2,612,090 18.50×
      branch
      163,837 4,827,409 29.46×
      funccall
      540.8 11,241 20.79×
      funcret
      16,826 356,221 21.17×
      hash
      135,595 3,338,465 24.62×
      intmath
      58,295 1,263,463 21.67×
      nop
      283,019 4,565,691 16.13×
      prime
      393,736 7,764,364 19.72×
      rotate
      77,152 1,237,043 16.03×
      str
      808,040 16,932,290 20.95×
      wcs
      564,597 10,368,940 18.37×
      CryptographySingleMultiScaling
      crypt
      3,213 50,449 15.70×
      CompressionSingleMultiScaling
      jpeg
      684.12 15,036 21.98×
      zlib
      50.92 1,464 28.74×
      HypervisorSingleMultiScaling
      clock
      22,195 271,843 12.25×
      clone
      294.81 4,007 13.59×
      context
      3,157 84,106 26.64×
      cpu-sched
      65.44 1,993 30.45×
      eventfd
      55,466 1,549,054 27.93×
      fault
      7,951 175,508 22.07×
      fork
      3,471 61,301 17.66×
      getrandom
      45,279 917,905 20.27×
      hrtimers
      391,526 3,696,703 9.44×
      mprotect
      761,113 5,134,899 6.75×
      mtx
      45,513,958 1,836,216,566 40.34×
      munmap
      2,448 44,643 18.24×
      null
      409,093 10,435,657 25.51×
      pipe
      1,424,221 11,729,224 8.24×
      priv-instr
      406,710 10,112,279 24.86×
      resched
      6,802,794 2,826,068 0.42×
      switch
      133,145 3,199,766 24.03×
      timermix
      254,114 6,016,554 23.68×
      tlb-shootdown
      14,197 97,700 6.88×
      tsc
      669,020 20,606,497 30.80×
      usersyscall
      297,280 7,343,333 24.70×
      vdso
      77,373,452 2,097,426,036 27.11×
      vfork
      21,007 136,408 6.49×
      x86syscall
      4,862,606 124,782,861 25.66×
      yield
      21,429,498 19,258,674 0.90×
      zero
      2,792,229 66,772,581 23.91×
      CPU float/SIMDSingleMultiScaling
      eigen
      13,543 231,451 17.09×
      expmath
      2,327 60,087 25.83×
      fma
      779,922 19,744,684 25.32×
      fp
      227.79 5,309 23.31×
      fractal
      6.8 178.67 26.27×
      hyperbolic
      3,292 79,767 24.23×
      logmath
      3,877 89,262 23.03×
      matrix
      2,715 63,988 23.57×
      matrix-3d
      409.11 1,486 3.63×
      monte-carlo
      182.61 4,480 24.53×
      mpfr
      1,403 27,484 19.58×
      powmath
      1,161 30,676 26.41×
      trig
      1,479 36,950 24.98×
      veccmp
      15,982 337,222 21.10×
      vecfp
      1,478 32,875 22.24×
      vecmath
      3,425 88,345 25.80×
      vecshuf
      533.47 9,957 18.66×
      vecwide
      23,667 482,469 20.39×
      AlgorithmsSingleMultiScaling
      bitonicsort
      8.6 147.2 17.12×
      bsearch
      263.63 5,543 21.03×
      bubblesort
      0.8 19.2 24.00×
      fibsearch
      320.48 6,188 19.31×
      heapsort
      9.4 183.6 19.53×
      hsearch
      7,517 137,925 18.35×
      insertionsort
      11.6 185.6 16.00×
      malloc
      3,128,606 51,493,457 16.46×
      mcontend
      133.04 5,527 41.55×
      mergesort
      27.2 635.78 23.37×
      qsort
      18.6 404.59 21.75×
      skiplist
      6,157 151,131 24.54×
      tree
      1.6 19.18 11.99×
      MemorySingleMultiScaling
      cache
      650,701 1,068,926 1.64×
      cachehammer
      305,447 5,993,585 19.62×
      cacheline
      21.59 1,330 61.58×
      l1cache
      148.06 2,522 17.04×
      memcpy
      365.83 5,601 15.31×
      memrate
      2.54 6.03 2.37×
      memthrash
      171.72 372.9 2.17×
      ptr-chase
      40,171,899 207,550,994 5.17×
      spinmem
      361.23 2,424 6.71×
      stream
      96.29 5,029 52.23×
      vm
      59,046 295,426 5.00×

      Stress-ng Raw Scores

      Stress-ng Relative Multicore Performance

      LLM Inference Speed for Prompt Processing

      LLM Inference Speed for Text Generation

      Static Web Server

      Redis

      Alternatives

      Servers of the Same Family

      INSTANCEvCPUsMEMORYAccelerators
      ecs.g7a.large 28 GiB0
      ecs.g7a.xlarge 416 GiB0
      ecs.g7a.2xlarge 832 GiB0
      ecs.g7a.4xlarge 1664 GiB0
      ecs.g7a-nps1.8xlarge 32128 GiB0
      ecs.g7a-nps1.16xlarge 64256 GiB0
      ecs.g7a.16xlarge 64256 GiB0

      Similar Servers

      INSTANCEVENDORvCPUsMEMORYAccelerators

      ecs.g7a.8xlarge FAQs